code: def get_arima_nemo_pipeline():
      """ Function return complex pipeline with the following structure
          arima \
                 linear
          nemo  |
      """
  
      node_arima = PipelineNode("arima")
      node_nemo = PipelineNode("exog_ts")
      node_final = PipelineNode(
          "linear", nodes_from=[node_arima, node_nemo]
      )
      pipeline = Pipeline(node_final)
      return pipeline
  
imports: import os
  from copy import deepcopy
  import numpy
  import pandas
  from matplotlib import pyplot
  from sklearn.metrics import mean_squared_error, mean_absolute_error
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TsForecastingParams, TaskTypesEnum
label_desc: Use image node_id 3 for calling a global function with example usage: get_arima_nemo_pipeline() and returns: pipeline